B-learning quality: dimensions, criteria and pedagogical approach

Measuring the quality of a b-learning environment is critical to determine the success of a b-learning course. Several initiatives have been recently conducted on benchmarking and quality in e-learning. Despite these efforts in defining and examining quality issues concerning online courses, a defining instrument to evaluate quality is one of the key challenges for blended learning, since it incorporates both traditional and online instruction methods. For this paper, six frameworks for quality assessment of technological enhanced learning were examined and compared regarding similarities and differences. These frameworks aim at the same global objective: the quality of e-learning environment/products. They present different perspectives but also many common issues. Some of them are more specific and related to the course and other are more global and related to institutional aspects. In this work we collected and arrange all the quality criteria identified in order to get a more complete framework and determine if it fits our b-learning environment. We also included elements related to our own b-learning research and experience, acquired during more than 10 years of experience. As a result we have create a new quality reference with a set of dimensions and criteria that should be taken into account when you are analyzing, designing, developing, implementing and evaluating a b-learning environment. Besides these perspectives on what to do when you are developing a b-learning environment we have also included pedagogical issues in order to give directions on how to do it to reach the success of the learning. The information, concepts and procedures here presented give support to teachers and instructors, which intend to validate the quality of their blended learning courses.

Multiple sequence alignment correction using constraints

Trabalho apresentado no âmbito do European Master in Computational Logics, como requisito parcial para obtenção do grau de Mestre em Computational Logics

Escrever para aprender estudo do meio

Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Didáticas Integradas em Língua Portuguesa, Matemática, Ciências Naturais e Sociais

Comportamento da tibiotársica na sequência de movimento de sentar para de pé em crianças prematuras

Introdução: A prematuridade constitui um fator de risco para a ocorrência de lesões ao nível do sistema nervoso central, sendo que uma idade gestacional inferior a 36 semanas potencia esse mesmo risco, nomeadamente para a paralisia cerebral (PC) do tipo diplegia espástica. A sequência de movimento de sentado para de pé (SPP), sendo uma das aprendizagens motoras que exige um controlo postural (CP) ao nível da tibiotársica, parece ser uma tarefa funcional frequentemente comprometida em crianças prematuras com e sem PC. Objetivo(s): Descrever o comportamento dos músculos da tibiotársica, tibial anterior (TA) e solear (SOL), no que diz respeito ao timing de ativação, magnitude e co-ativação muscular durante a fase I e início da fase II na sequência de movimento de SPP realizada por cinco crianças prematuras com PC do tipo diplegia espástica e cinco crianças prematuras sem diagnóstico de alteração neuromotoras, sendo as primeiras sujeitas a um programa de intervenção baseado nos princípios do conceito de Bobath – Tratamento do Neurodesenvolvimento (TND). Métodos: Foram avaliadas 10 crianças prematuras, cinco com PC e cinco sem diagnóstico de alterações neuromotoras, tendo-se recorrido à eletromiografia de superfície para registar parâmetros musculares, nomeadamente timings, magnitudes e valores de co-ativação dos músculos TA e SOL, associados à fase I e inico da fase II da sequência de movimento de SPP. Procedeu-se ao registo de imagem de modo a facilitar a avaliação dos componentes de movimento associados a esta tarefa. Estes procedimentos foram realizados num único momento, no caso das crianças sem diagnóstico de alterações neuromotoras e em dois momentos, antes e após a aplicação de um programa de intervenção segundo o Conceito de Bobath – TND no caso das crianças com PC. A estas foi ainda aplicado o Teste da Medida das Funções Motoras (TMFM–88) e a Classificação Internacional da Funcionalidade Incapacidade e Saúde – crianças e jovens (CIF-CJ). Resultados: Através da eletromiografia constatou-se que ambos os grupos apresentaram timings de ativação afastados da janela temporal considerada como ajustes posturais antecipatórios (APAs), níveis elevados de co-ativação, em alguns casos com inversão na ordem de recrutamento muscular o que foi possível modificar nas crianças com PC após o período de intervenção. Nestas, verificou-se ainda que, a sequência de movimento de SPP foi realizada com menor número de compensações e com melhor relação entre estruturas proximais e distais compatível com o aumento do score final do TMFM-88 e modificação positiva nos itens de atividade e participação da CIF-CJ. Conclusão: As crianças prematuras com e sem PC apresentaram alterações no CP da tibiotársica e níveis elevados de co-ativação muscular. Após o período de intervenção as crianças com PC apresentaram modificações positivas no timing e co-ativação muscular, com impacto funcional evidenciado no aumento do score final da TMFM-88 e modificações positivas na CIF-CJ.

Personal learning environments: integration of Web 2.0 applications and content management systems

This paper presents an ongoing project that implements a platform for creating personal learning environments controlled by students, integrating Web 2.0 applications and content management systems, enabling the safe use of content created in Web 2.0 applications, allowing its publication in the infrastructure controlled by the HEI. Using this platform, students can develop their personal learning environment (PLE) integrated with the Learning Management System (LMS) of the HEI, enabling the management of their learning and, simultaneously, creating their e-portfolio with digital content developed for Course Units (CU). All this can be maintained after the student completes his academic studies, since the platform will remain accessible to students even after they leave the HEI and lose access to its infrastructure. The platform will enable the safe use of content created in Web 2.0 applications, allowing its protected publication in the infrastructure controlled by HEI, thus contributing to the adaptation of the L&T paradigm to the Bologna process.

Teaching and learning with social software in higher education: content management systems integrated with Web-based applications as a key factor for success

The change of paradigm imposed by the Bologna process, in which the student will be responsible for their own learning, and the presence of a new generation of students with higher technological skills, represent a huge challenge for higher education institutions. The use of new Web Social concepts in teaching process, supported by applications commonly called Web 2.0, with which these new students feel at ease, can bring benefits in terms of motivation and the frequency and quality of students' involvement in academic activities. An e-learning platform with web-based applications as a complement can significantly contribute to the development of different skills in higher education students, covering areas which are usually in deficit.

Task-based learning : fonte de sucesso e motivação na apredizagem de uma língua estrangeira

Relatório apresentado para cumprimento dos requisitos necessários à obtenção do grau Mestre em Ensino de Inglês e de Língua Estrangeira (Espanhol) no 3º Ciclo do Ensino Básico e no Ensino Secundário

Mobile learning: recetividade e predisposição do ensino superior para a sua utilização

A evolução dos dispositivos móveis e a mudança de paradigma educacional, permitiu o surgimento de um novo conceito no processo de ensino e aprendizagem, o mobile learning. O mobile learning pode ser visto como um conceito multidisciplinar, dependendo da perspetiva de cada autor, pois ainda não existe um consenso em relação à definição do conceito. No entanto, todos os autores concordam que o mobile learning consiste na aquisição de conhecimento ou competência através do uso de tecnologias móveis, em qualquer lugar e momento. A presente investigação, de natureza exploratória, pretendeu estudar a receptividade e predisposição dos estudantes e docentes do ensino superior para com a utilização do mobile learning, uma vez que o ensino superior parece ser o ambiente ideal para a realização deste estudo. Por um lado, devido à democratização dos dispositivos móveis, por outro, porque o Instituto Politécnico do Porto pretende vir a implementar um projeto de mobile learning, enquadrado no e- IPP. Deste modo, para a concretização desta investigação, foi realizada uma revisão bibliográfica exaustiva que serviu de base de sustentação para todo o trabalho, complementada com um questionário, de forma a dar resposta às questões de investigação. Depois de recolhidos todos os resultados obtidos através do questionário, procedeu-se à análise e discussão mesmos, bem como às respectivas conclusões.

Math without stress: an open online learning project

MOOC (as an acronym for Massive Open Online Courses) are a quite new model for the delivery of online learning to students. As “Massive” and “Online”, these courses are proposed to be accessible to many more learners than would be possible through conventional teaching. As “Open” they are (frequently) free of charge and participation is not limited by the geographical situation of the learners, creating new learning opportunities in Higher Education Institutions (HEI). In this paper we describe a recently started project “Matemática 100 STRESS” (Math Without STRESS) integrated in the e-IPP project | e-Learning Unit of Porto’s Polytechnic Institute (IPP) which has created its own MOOC platform and launched its first course – Probabilities and Combinatorics – in early June/2014. In this MOOC development were involved several lecturers from four of the seven IPP schools.

Multi-Agent Based Smart Grid Management and Simulation: Situation Awareness and Learning in a Test Bed with Simulated and Real Installations and Players

The rising usage of distributed energy resources has been creating several problems in power systems operation. Virtual Power Players arise as a solution for the management of such resources. Additionally, approaching the main network as a series of subsystems gives birth to the concepts of smart grid and micro grid. Simulation, particularly based on multi-agent technology is suitable to model all these new and evolving concepts. MASGriP (Multi-Agent Smart Grid simulation Platform) is a system that was developed to allow deep studies of the mentioned concepts. This paper focuses on a laboratorial test bed which represents a house managed by a MASGriP player. This player is able to control a real installation, responding to requests sent by the system operators and reacting to observed events depending on the context.

Adaptive Learning in Games: Defining Profiles of Competitor Players

Artificial Intelligence has been applied to dynamic games for many years. The ultimate goal is creating responses in virtual entities that display human-like reasoning in the definition of their behaviors. However, virtual entities that can be mistaken for real persons are yet very far from being fully achieved. This paper presents an adaptive learning based methodology for the definition of players’ profiles, with the purpose of supporting decisions of virtual entities. The proposed methodology is based on reinforcement learning algorithms, which are responsible for choosing, along the time, with the gathering of experience, the most appropriate from a set of different learning approaches. These learning approaches have very distinct natures, from mathematical to artificial intelligence and data analysis methodologies, so that the methodology is prepared for very distinct situations. This way it is equipped with a variety of tools that individually can be useful for each encountered situation. The proposed methodology is tested firstly on two simpler computer versus human player games: the rock-paper-scissors game, and a penalty-shootout simulation. Finally, the methodology is applied to the definition of action profiles of electricity market players; players that compete in a dynamic game-wise environment, in which the main goal is the achievement of the highest possible profits in the market.

Reinforcement Learning Based on the Bayesian Theorem for Electricity Markets Decision Support

This paper presents the applicability of a reinforcement learning algorithm based on the application of the Bayesian theorem of probability. The proposed reinforcement learning algorithm is an advantageous and indispensable tool for ALBidS (Adaptive Learning strategic Bidding System), a multi-agent system that has the purpose of providing decision support to electricity market negotiating players. ALBidS uses a set of different strategies for providing decision support to market players. These strategies are used accordingly to their probability of success for each different context. The approach proposed in this paper uses a Bayesian network for deciding the most probably successful action at each time, depending on past events. The performance of the proposed methodology is tested using electricity market simulations in MASCEM (Multi-Agent Simulator of Competitive Electricity Markets). MASCEM provides the means for simulating a real electricity market environment, based on real data from real electricity market operators.

A Learning Algorithm and System Approach to Address Exceptional Events in Domestic Consumption Management

The integration of the Smart Grid concept into the electric grid brings to the need for an active participation of small and medium players. This active participation can be achieved using decentralized decisions, in which the end consumer can manage loads regarding the Smart Grid needs. The management of loads must handle the users’ preferences, wills and needs. However, the users’ preferences, wills and needs can suffer changes when faced with exceptional events. This paper proposes the integration of exceptional events into the SCADA House Intelligent Management (SHIM) system developed by the authors, to handle machine learning issues in the domestic consumption context. An illustrative application and learning case study is provided in this paper.

The role of lifelong learning (LLL) in the creation of a european knowledge- based society

This chapter appears in Encyclopaedia of Human Resources Information Systems: Challenges in e-HRM edited by Torres-Coronas, T. and Arias-Oliva, M. Copyright 2009, IGI Global, www.igi-global.com. Posted by permission of the publisher. URL:http://www.igi-pub.com/reference/details.asp?id=7737

The development of a knowledge-based society - Challenges for e-learning and adult students in higher education

This chapter appears in Encyclopaedia of Distance Learning 2nd Edition edit by Rogers, P.; Berg, Gary; Boettecher, Judith V.; Howard, Caroline; Justice, Lorraine; Schenk, Karen D.. Copyright 2009, IGI Global, www.igi-global.com. Posted by permission of the publisher. URL: http://www.igi-global.com/reference/ details.asp?ID=9703&v=tableOfContents